Cumulative Childhood Trauma and Couple Satisfaction: Examining the Mediating Role of Mindfulness
Bibliographic record
Abstract
Abstract Objectives Cumulative childhood trauma (CCT) survivors are at a higher risk of suffering from interpersonal problems including couple dissatisfaction. Dispositional mindfulness is increasingly proposed as a potential explanatory mechanism of post-traumatic symptomatology and has been documented as a predictor of couple satisfaction. Most authors operationalize mindfulness as a multidimensional disposition comprised of five facets (i.e., Describing, Observing, Non-judgment of inner experiences, Non-reactivity, and Acting with awareness), but the role of these facets in the link between CCT and couple satisfaction has yet to be understood. This study aimed to assess mindfulness as a potential mediator in the relationship between CCT and couple satisfaction and to examine the distinctive contributions of mindfulness facets in this mediation. Methods A sample of 330 participants from the community completed measures of couple satisfaction, mindfulness, and exposure to eight types of childhood maltreatment experiences. Results Path analysis results revealed that mindfulness mediated the relationship between CCT and couple satisfaction. More precisely, two mindfulness facets acted as specific mediators, namely, Describing and Non-judgment of inner experiences. The final integrative model explained 14% (p < .001) of the variance in couple satisfaction. Conclusions Findings suggest that mindfulness may be a meaningful mechanism in the link between CCT and couple satisfaction. They also highlight that description of inner experiences and a non-judgmental attitude of these experiences may act as key components to understand the influence of CCT on adults’ lower couple satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".